Guide to Brain-Computer Music Interfacing

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This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.9.6.3 Results The algorithm, programmed using Matlab, is run 100 times for each
evaluation method with 300 parents and 150 children. The training ... Figure 9.21
gives CCR values for each run of the GA with CART (stars) and SVC (circles).

Title

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Guide to Brain-Computer Music Interfacing

Author

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Eduardo Reck Miranda, Julien Castet

Publisher

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Springer - 2014-10-03

ISBN-13

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